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1 October 2025
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N 19:15 | Ipsativity 2 changes history +1,766 [Flc (2×)] | |||
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19:15 (cur | prev) −3 Flc talk contribs (→Generalities) | ||||
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19:13 (cur | prev) +1,769 Flc talk contribs (Created page with "=Introduction= With assessment techniques, ipsativity refers to the comparisons made between two or more dimensions being measured, rather than comparing them to a larger group, such as what normative approaches do. =Generalities= Ipsativity is intrapersonal as it deals with various attributes of a single individual. The peculiar name “Ipsative” comes from the Latin word ipse, which means "of the self." Ipsative assessments typically ask questions requiring forced...") | |||
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N 05:59 | Normativity 4 changes history +2,635 [Flc (4×)] | |||
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05:59 (cur | prev) +2 Flc talk contribs (→Clinical Use) | |||
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05:57 (cur | prev) −13 Flc talk contribs (→Work-related Use) | |||
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05:53 (cur | prev) −12 Flc talk contribs (→GRI Measures) | |||
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05:52 (cur | prev) +2,658 Flc talk contribs (Created page with " =Introduction= With assessment techniques, normativity refers to the ability of the technique to compare an individual's results to a larger population. Since the word normative sometimes implies specific rules to follow, it’s important to note that “normativity” in assessment only pertains to how data is normalized, eventually using a normal Gaussian distribution, to allow meaningful comparisons with other data of the same category. =Clinical Use= Normative as...") | |||
29 September 2025
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N 23:20 | Orthogonality 16 changes history +2,292 [Flc (16×)] | |||
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23:20 (cur | prev) −43 Flc talk contribs (→GRI Factors) | |||
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15:54 (cur | prev) 0 Flc talk contribs (→Map Analogy) | |||
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15:33 (cur | prev) +15 Flc talk contribs (→Map Analogy) | ||||
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05:59 (cur | prev) +1,000 Flc talk contribs (Created page with "In factorial analysis, "orthogonality" refers to variables that are independent and uncorrelated. When two factors are orthogonal, you can study their effects as if they are happening at a right angle to each other, rather than overlapping. This leads to a clearer understanding of each factor's contribution to the outcome. The opposite of orthogonal factors are oblique factors. right|300px Consider the world map on the right. You may like...") | |||
